Large language models (LLMs) are increasingly used for model-to-code generation, but they weaken one of the central properties of model-driven engineering: traceability between design models and generated implementation artefacts. Existing approaches either rely on deterministic transformations, where trace links can b...
Marc North, Nelly Bencomo, Amir Atapour-Abarghouei· ACM/IEEE International Confe...· 0 citations
This roadmap paper reports the outcomes of the NII Shonan Seminar No. 232 on Uncertainty Interaction in Software-Intensive Systems (UNISON), held in March 2026 and develops a shared conceptual vocabulary for distinguishing uncertainty sources, propagation, confluence, interaction, and relevance; proposes an abstract wo...
Javier Cámara, R. Mirandola, Kenji Tei et al.· ACM Transactions on Autonomo...· 0 citations
Large language models (LLMs) are increasingly used for model-to-code generation, but they weaken one of the central properties of model-driven engineering: traceability between design models and generated implementation artefacts. Existing approaches either rely on deterministic transformations, where trace links can b...
Marc North, Nelly Bencomo, Amir Atapour-Abarghouei· Proceedings of the ACM/IEEE...· 0 citations
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